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Decision Boundary Plot for Classification ( Gradient Boosted Trees )

Posted 3 years ago

Hello, I am classifying two category of molecules based on their coordinates (Numerical Vector Sequence type Data). I have trained Gradient Boosted Trees using Classify[ ]. But I don't understand the Learning curve that Mathematica is generating. Which parameter is on Y-axis in the curve? is it error on y-axis in the learning curve?

Learning Curve

Also, I need to plot Decision Boundary plot for the trained model.

Can anyone help me understand the Learning curve and plot decision boundary plot for gradient boosted trees. Like this one DecisionBoundary Plot.

POSTED BY: Mohammad Junaid
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